IDEAS home Printed from
   My bibliography  Save this paper

Area interpolation in presence of measurement error and an application to German administrative data


  • Arntz, Melanie
  • Wilke, Ralf A.


"In many situations the applied researcher wants to combine different data sources without knowing the exact link and merging rule. This paper considers different interpolation methods for interpolating attributes from German labor office districts to German counties and vice versa. In particular, we apply dasymetric weighting as an alternative to simple area weighting both of which are based on estimated intersection areas. Since these estimates can be spurious, our theoretical framework extends the well-known Goodchild and Lam (1980) approach to the presence of measurement error in the underlying maps. We also present conditions under which the choice of interpolation method does not matter and confirm the theoretical results with a simulation study. Our application to German administrative data suggests robustness of estimation results of interpolated attributes with respect to the choice of interpolation method. We deliver weighting matrices for regional data sources of the two largest German data producers." (Author's abstract, IAB-Doku) ((en)) Additional Information Anlage zum FDZ-Methodenreport Nr. 01/2006: Stata-Dateien mit den Gewichten:

Suggested Citation

  • Arntz, Melanie & Wilke, Ralf A., 2006. "Area interpolation in presence of measurement error and an application to German administrative data," FDZ Methodenreport 200601_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  • Handle: RePEc:iab:iabfme:200601_en

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    prozessproduzierte Daten; Statistisches Bundesamt; Landkreis; Bundesagentur für Arbeit; Arbeitsagenturbezirke; Datenqualität; Datenverarbeitung; Regionalgliederung; Kartierung; regionaler Vergleich; IAB-Beschäftigtenstichprobe; Wirtschaftsforschung; Arbeitsmarktforschung;

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iab:iabfme:200601_en. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (IAB, Geschäftsbereich Dokumentation und Bibliothek). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.